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KEEN TO HELP? MANAGERS' IMPLICIT PERSON THEORIES AND THEIR SUBSEQUENT EMPLOYEE COACHING

2006· article· en· W2077121848 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePersonnel Psychology · 2006
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCoachingMalleabilityPersuasionPsychologyAffect (linguistics)Field (mathematics)Social psychologyPersonalityQuality (philosophy)Applied psychologyEmployee motivationHeuristicsEmployee engagementPublic relationsComputer science

Abstract

fetched live from OpenAlex

Although coaching can facilitate employee development and performance, the stark reality is that managers often differ substantially in their inclination to coach their subordinates. To address this issue, we draw from and build upon a body of social psychology research that finds that implicit person theories (IPTs) about the malleability of personal attributes (e.g., personality and ability) affect one's willingness to help others. Specifically, individuals holding an “entity theory” that human attributes are innate and unalterable are disinclined to invest in helping others to develop and improve, relative to individuals who hold the “incremental theory” that personal attributes can be developed. Three studies examined how managers' IPTs influence the extent of their employee coaching. First, a longitudinal field study found that managers' IPTs predicted employee evaluations of their subsequent employee coaching. This finding was replicated in a second field study. Third, an experimental study found that using self‐persuasion principles to induce incremental IPTs increased entity theorist managers' willingness to coach a poor performing employee, as well as the quantity and quality of their performance improvement suggestions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.521
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.379
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it